Global AI Strategy Landscape

"Over 90% of AI solutions for real-world projects still rely on ML algorithms, not LLMs, not fancy algorithms.

Despite the growing interest in Generative AI, a larger proportion of organizations across various industries continue to allocate more than 20% of their budget to analytical AI compared to GenAI (McKinsey Global Survey on AI, 2024).

Machine learning, data science, TensorFlow, PyTorch, and computer vision remain the most required skills in the market.

The image summarizes various countries' AI strategies. I find it interesting since most of these strategies were formulated around 2018 and some are 5-6 year plans, which means we should soon see many results and significant progress.

Among these strategies, China stands out with the most comprehensive national AI strategy, encompassing initiatives and goals for R&D, industrialization, talent development, education and skills acquisition, standard setting and regulations, ethical norms, and security.

One of China's goals is to 'reach world-leading status in some AI fields by 2025'. Do you see it is happening? "

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